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Books > Reference & Interdisciplinary > Communication studies > Information theory
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Maximum Entropy, Information Without Probability and Complex Fractals - Classical and Quantum Approach (Hardcover, 2000 ed.)
Loot Price: R2,957
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Maximum Entropy, Information Without Probability and Complex Fractals - Classical and Quantum Approach (Hardcover, 2000 ed.)
Series: Fundamental Theories of Physics, 112
Expected to ship within 10 - 15 working days
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Every thought is a throw of dice. Stephane Mallarme This book is
the last one of a trilogy which reports a part of our research work
over nearly thirty years (we discard our non-conventional results
in automatic control theory and applications on the one hand, and
fuzzy sets on the other), and its main key words are Information
Theory, Entropy, Maximum Entropy Principle, Linguistics,
Thermodynamics, Quantum Mechanics, Fractals, Fractional Brownian
Motion, Stochastic Differential Equations of Order n, Stochastic
Optimal Control, Computer Vision. Our obsession has been always the
same: Shannon's information theory should play a basic role in the
foundations of sciences, but subject to the condition that it be
suitably generalized to allow us to deal with problems which are
not necessarily related to communication engineering. With this
objective in mind, two questions are of utmost importance: (i) How
can we introduce meaning or significance of information in
Shannon's information theory? (ii) How can we define and/or measure
the amount of information involved in a form or a pattern without
using a probabilistic scheme? It is obligatory to find suitable
answers to these problems if we want to apply Shannon's theory to
science with some chance of success. For instance, its use in
biology has been very disappointing, for the very reason that the
meaning of information is there of basic importance, and is not
involved in this approach.
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